College of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, P.R. China.
Research Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, P.R. China.
Mol Med Rep. 2020 Nov;22(5):3862-3872. doi: 10.3892/mmr.2020.11476. Epub 2020 Sep 2.
Unstable angina (UA) is a coronary disease with a high mortality and morbidity worldwide. The present study aimed to use non‑invasive techniques to identify urine biomarkers in patients with UA, so as to provide more information for the early diagnosis and treatment of the disease. Based on metabolomics, urine samples from 28 patients with UA and 28 healthy controls (HCs) were analyzed using ultra‑high‑performance liquid chromatography‑quadrupole time‑of‑flight mass spectrometry (UPLC‑Q‑TOF/MS). A total of 16 significant biomarkers that could distinguish between patients with UA and HCs, including D‑glucuronic acid, creatinine, succinic acid and N‑acetylneuraminic acid, were identified. The major metabolic pathways associated with UA were subsequently analyzed by non‑targeted metabolomics. The results demonstrated that amino acid and energy metabolism, fatty acid metabolism, purine metabolism and steroid hormone biosynthetic metabolism may serve important roles in UA. The results of the current study may provide a theoretical basis for the early diagnosis of UA and novel treatment strategies for clinicians. The trial was registered with the Chinese Clinical Trial Registration Center (registration no. ChiCTR‑ROC‑17013957) at Tianjin University of Traditional Chinese Medicine.
不稳定型心绞痛 (UA) 是一种具有高全球死亡率和发病率的冠状动脉疾病。本研究旨在使用非侵入性技术来鉴定 UA 患者的尿液生物标志物,从而为疾病的早期诊断和治疗提供更多信息。基于代谢组学,使用超高效液相色谱-四极杆飞行时间质谱联用仪 (UPLC-Q-TOF/MS) 对 28 例 UA 患者和 28 例健康对照者 (HCs) 的尿液样本进行分析。共鉴定出 16 个能够区分 UA 患者和 HCs 的显著生物标志物,包括 D-葡萄糖醛酸、肌酸、琥珀酸和 N-乙酰神经氨酸。随后通过非靶向代谢组学分析与 UA 相关的主要代谢途径。结果表明,氨基酸和能量代谢、脂肪酸代谢、嘌呤代谢和甾体激素生物合成代谢可能在 UA 中发挥重要作用。本研究的结果可能为 UA 的早期诊断和临床医生的新治疗策略提供理论依据。该试验在中国中医科学院注册(注册号 ChiCTR-ROC-17013957)。